Justification of quasi-stationary approximation in models of gene expression of a self-regulating protein - Publikacja - MOST Wiedzy

Wyszukiwarka

Justification of quasi-stationary approximation in models of gene expression of a self-regulating protein

Abstrakt

We analyse a model of Hes1 gene transcription and protein synthesis with a negative feedback loop. The effect of multiple binding sites in the Hes1 promoter as well as the dimer formation process are taken into account. We consider three, possibly different, time scales connected with: (i) the process of binding to/dissolving from a binding site, (ii) formation and dissociation of dimers, (iii) production and degradation of Hes1 protein and its mRNA. Assuming that the first two processes are much faster than the third one, using the Tikhonov theorem, we reduce in two steps the full model to the classical Hes1 model. In the intermediate step two different models are derived depending on the relation between the time scales of processes (i) and (ii). The asymptotic behaviour of the solutions of systems are studied. We investigate the stability of the positive steady state and perform some numerical experiments showing differences in dynamics of the considered models.

Cytowania

  • 1

    CrossRef

  • 0

    Web of Science

  • 1

    Scopus

Cytuj jako

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Communications in Nonlinear Science and Numerical Simulation nr 84,
ISSN: 1007-5704
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Bartłomiejczyk A., Bodnar M.: Justification of quasi-stationary approximation in models of gene expression of a self-regulating protein// Communications in Nonlinear Science and Numerical Simulation -Vol. 84, (2020), s.105166-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.cnsns.2020.105166
Weryfikacja:
Politechnika Gdańska

Powiązane datasety

wyświetlono 166 razy

Publikacje, które mogą cię zainteresować

Meta Tagi